Experimental design and machine learning strategies for parameters screening and optimization of Hantzsch condensation reaction for the assay of sodium alendronate in oral solution-Reference-Cited by-同舟云学术

Experimental design and machine learning strategies for parameters screening and optimization of Hantzsch condensation reaction for the assay of sodium alendronate in oral solution

Published:2015 Issue:9 Volume:5 Page:6385-6394
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Korany Mohamed A.¹²³⁴⁵,Ragab Marwa A. A.¹²³⁴⁵,Youssef Rasha M.¹²³⁴⁵,Afify Mostafa A.⁶⁷⁸⁵

Affiliation:

1. Faculty of Pharmacy

2. Department of Pharmaceutical Analytical Chemistry

3. University of Alexandria

4. Alexandria 21521

5. Egypt

6. Borg Pharmaceutical Industries

7. Borg El-Arab new city – Industrial Zone 3 – Area 3 – district 17

8. Alexandria

Abstract

An experimental design was adopted to attain the optimum reaction parameters of chemical derivatization of anhydrous sodium alendronate in an oral solution formulaviaHantzsch condensation reaction.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2015/RA/C4RA12750A

Reference40 articles.

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2. U. S. P. Convention , USP36 NF31, 2013: U. S. Pharmacopoeia National Formulary, United States Pharmacopeial, 2012

3. U. K. S. Office , British Pharmacopoeia 2013 [Print + CD-ROM], STATIONARY OFFICE, 2012

4. Validated spectrophotometric methods for determination of Alendronate sodium in tablets through nucleophilic aromatic substitution reactions

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